Ahmed Al-Gindy - Profile on Academia.edu (original) (raw)

Papers by Ahmed Al-Gindy

RF LNA with Simultaneous Noise-Cancellation and Distortion-Cancellation for Wireless RF Systems

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)

Towards an ML-based semantic IoT for pandemic management: A survey of enabling technologies for COVID-19

Neurocomputing

Open Computer Science

With the advent of high-speed broadband Internet access, the need to protect digital videos is hi... more With the advent of high-speed broadband Internet access, the need to protect digital videos is highly recommended. The main objective of this study is to propose an adaptive algorithm for watermarked digital videos in the frequency domain based on discrete cosine transform (DCT). The watermark signature image is embedded into the whole frame of the video. The green channel of the RGB frame is selected for the embedding process using the DCT algorithm as it shows the recommended quality of the watermarked frames. The experiment results indicate that the proposed algorithm shows robustness and high quality of the watermarked videos by testing various strength values ∆ for different videos. It offers resistance against different types of attacks.

Integrating Digital Technology in Enterprise and Entrepreneurship Education

Technology and Entrepreneurship Education, 2022

Autoencoder-based Intrusion Detection System

2021 International Conference on Engineering and Emerging Technologies (ICEET), 2021

Given the dependence of the modern society on networks, the importance of effective intrusion det... more Given the dependence of the modern society on networks, the importance of effective intrusion detection systems (IDS) cannot be underestimated. In this paper, we consider an autoencoder-based IDS for detecting distributed denial of service attacks (DDoS). The advantage of autoencoders over traditional machine learning methods is the ability to train on unlabeled data. As a result, autoencoders are well-suited for detecting unknown attacks. The key idea of the proposed approach is that anomalous traffic flows will have higher reconstruction loss which can be used to flag the intrusions. The results of numerical experiments show that the proposed method outperforms benchmark unsupervised algorithms in detecting DDoS attacks.

International Journal of Advanced Computer Science and Applications, 2021

Recent advancements in technologies enabled the development of smart cities to be more effective ... more Recent advancements in technologies enabled the development of smart cities to be more effective and possible. Smart cities depend on intelligent systems, artificial intelligence, the internet of things, control system, and many more advanced technologies. Sustainability challenges and problems worldwide, with smart and sustainability concepts, reflect almost mutual goals. It includes improving and providing the essential life services for all people efficiently while depending on sustainable, clean, and renewable energy with considerations of different economic, educational, health, social and environmental aspects in the city. In this research, a cost analysis process has been implemented to ease the implementation and resource utilization of smart and sustainable cities in Africa. The challenges and difficulties of those implementations are summarized.

RF LNA with Active Inductor Linearizer for Wireless Communication

2021 International Symposium on Networks, Computers and Communications (ISNCC), 2021

This paper presents the design of a fully-integrated RF low noise amplifier with active inductor ... more This paper presents the design of a fully-integrated RF low noise amplifier with active inductor linearizer. The proposed circuit achieves 16 dBc of third order intermodulation IM3 distortion cancellation at 1.9 GHz with 8 dB third-order intercept point IP3 improvement. The proposed circuit utilize an active inductor linearizer to improve linearity of the circuit and offering tunability. The simulation results show an overall proposed circuit peak gain is 14.5 dB and the minimum noise Figure is 0.75 dB at 1.9 GHz frequency with power consumption of 7.4 mA.

IEEE Access, 2021

A hybrid microgrid system (HMG) is a new avenue that offers an optimal, reliable, and cost-effect... more A hybrid microgrid system (HMG) is a new avenue that offers an optimal, reliable, and cost-effective solution for utilizing localized renewable energy resources over individual DC or AC microgrids. Nonetheless, the performance of the HMG varies greatly depending on the availability of renewable resources, desired services to provide, and demand system parameters. These parameters have a high impact on decision-making, reduced costs, and improved system reliability. Therefore, in this work, a reliable and robust developed multi-objective optimizer based on the hunger game search optimizer (HGSO) is proposed to attain HMG scheduling energy management schemes over a long-time horizon of 96 hours under uncertain real-time prices. The proposed strategy's main targets are retaining uninterruptible power to the load with minimal operating costs and minimal emission from the storage systems with achieving a high renewable factor. Moreover, a case study is discussed for including the battery degradation cost in the optimization process. These targets expressed via four objective functions for a HMG include grid-connected with photovoltaic and wind as renewable energy resources, besides battery, fuel cell, and supercapacitor as a storage system. The integrated system has been designed to supply the power demand for different load profiles in Egypt and the United Arab Emirates. The proposed multi-objective hunger game search optimizer (MOHGS) is compared with the recent state-of-the-art optimizers, including multi-objective versions of marine predators algorithm (MOMPA), slime mould algorithm (MOSMA), golden-eagle optimizer (MOGEO), grasshopper optimization algorithm (MOGOA), multi-verse optimizer (MOMVO), antlion optimizer (MOALO), and grey wolf optimizer(MOGWO) to evaluate the performance of the proposed power management system based MOHGS. The scheduled HMG performance is compared with the baseline system to clarify the essential outcomes for the proposed energy management approach. The obtained results confirm the proposed systems' reliability in reducing the power loss, saving the lifetime of the proposed energy storage elements, and minimizing the emissions by 43 % and 34.1 %. Furthermore, the proposed approach saves money for the customers by 184% and 4427% throughout the two studied locations via selling power for the grid compared to the baseline approach. The proposed approach achieves RF values of 86.5% and 94.2%; meanwhile, the baseline approach offers 79.3% and 93.6% for the studied locations, respectively. INDEX TERMS Energy management, micro grid, hunger game search, multi-objective hunger game search. The associate editor coordinating the review of this manuscript and approving it for publication was Xiaodong Liang .

International Journal of Information and Education Technology, 2020

The new paradigm shift of education where learners should learn real-life scenarios and solve rea... more The new paradigm shift of education where learners should learn real-life scenarios and solve real-life problems has created a major challenge. Students are passive and detached and may struggle to see the relevance of what they are learning to their lives. The recent growth of emerging technologies has launched terms such as virtual reality (VR), augmented reality (AR) and mixed reality (MR) into mainstream topic. Virtual reality, an integrated, hands-on tool for learning, can play a unique role in addressing these educational challenges. The proposed research demonstrates using the knowledge of integrated disciplines with virtual reality. COSPACES and MERGE cube add-on have been used to develop a simulation platform to teach water cycle process for young kids. This type of integration develops learners' 21st century skills to be decision makers, problem solvers, lifelong learners, creators, innovators, and to think critically in solving problems.

International Journal of Recent Technology and Engineering (IJRTE), 2019

This paper presents a three-levels Discrete Wavelet Transform (DWT) watermarking technique for co... more This paper presents a three-levels Discrete Wavelet Transform (DWT) watermarking technique for color images and watermarks. The proposed technique utilizes embedding the RGB watermark information into the Y channel of the YCbCr cover image. A pre-processor is used to convert the color watermark from RGB to a binary sequence. The pre-processed output is, then, inserted several times into the Y channel of the YCbCr cover image by changing the LL3 DWT coefficients. The robustness of the proposed scheme is verified through the ability to resist several classical attacks such as scaling, cropping, JPEG compression, median filtering and low pass filtering. In addition, the proposed scheme does not need the original host image to recover the watermark; hence, the recovery method is blind. This paper also includes a qualitative comparison between the one-level and two-levels DWT.

DCT Watermarking Technique Using Image Normalization

2015 International Conference on Developments of E-Systems Engineering (DeSE), 2015

This paper presents a modified algorithm for colour digital image watermarking. The 24 bits/pixel... more This paper presents a modified algorithm for colour digital image watermarking. The 24 bits/pixel RGB images are used and the watermark is placed on the green channel of the RGB image. The embedding and extraction processes have been carried out using the discrete cosine transform DCT. Image normalization process has been integrated and used to improve the robustness against geometric attacks. Handwritten signature has been used as a watermark and embedded into the host image using different watermarking strengths. Comparison between the original and modified algorithm is presented. Experimental results show that the normalization process has been useful to overcome the drawbacks in the original algorithm and improve robustness against geometric attacks such as translation, rotation, and scaling.